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    UFNet: Joint U-Net and Fully Connected Neural Network to Bias Correct Precipitation Predictions from Climate Models 

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003
    Author(s): Yu, Shuang; Chakraborty, Indrasis; Anderson, Gemma J.; Lucas, Donald D.; Lops, Yannic; Galea, Daniel
    Publisher: American Meteorological Society
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    Competing Influences of Anthropogenic Warming, ENSO, and Plant Physiology on Future Terrestrial Aridity 

    Source: Journal of Climate:;2017:;volume( 030 ):;issue: 017:;page 6883
    Author(s): Bonfils, Céline;Anderson, Gemma;Santer, Benjamin D.;Phillips, Thomas J.;Taylor, Karl E.;Cuntz, Matthias;Zelinka, Mark D.;Marvel, Kate;Cook, Benjamin I.;Cvijanovic, Ivana;Durack, Paul J.
    Publisher: American Meteorological Society
    Abstract: AbstractThe 2011?16 California drought illustrates that drought-prone areas do not always experience relief once a favorable phase of El Niño?Southern Oscillation (ENSO) returns. In the twenty-first century, such an ...
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    A Review of Recent and Emerging Machine Learning Applications for Climate Variability and Weather Phenomena 

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
    Author(s): Molina, Maria J.; O’Brien, Travis A.; Anderson, Gemma; Ashfaq, Moetasim; Bennett, Katrina E.; Collins, William D.; Dagon, Katherine; Restrepo, Juan M.; Ullrich, Paul A.
    Publisher: American Meteorological Society
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